Plant-Wide Process Real-Time Optimization Based on Process Goose Queue Methodology

摘要

In order to overcome the algorithmic deficiencies associated with conventional real-time optimization(RTO) such as huge process models, enormous manipulated variables, a so-called process goose queue (PGQ) technique is subsequently established inspired by biologic nature of flying wild geese. Taking advantage of this ad-hoc structure, a plant-wide process can be decomposed into several hierarchically connected PGQs, accordingly, process RTO identical with the following and tracking issues between leading and following geese. Followed by this philosophy, related theoretical definitions, the adjustment rules, implement procedure are explicitly introduced. Finally, a straightforward plant-wide process is employed to demonstrate the feasibility and validity of the contributions.